Invention Grant
- Patent Title: Method of acquiring neighboring disparity vectors for multi-texture and multi-depth video
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Application No.: US15316009Application Date: 2015-04-30
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Publication No.: US09883200B2Publication Date: 2018-01-30
- Inventor: Kebin Jia , Zuocheng Zhou , Pengyu Liu , Yibai Wang
- Applicant: Beijing University of Technology
- Applicant Address: CN Beijing
- Assignee: Beijing University of Technology
- Current Assignee: Beijing University of Technology
- Current Assignee Address: CN Beijing
- Priority: CN201510152909 20150401
- International Application: PCT/CN2015/077944 WO 20150430
- International Announcement: WO2016/155070 WO 20161006
- Main IPC: H04N19/52
- IPC: H04N19/52 ; H04N19/597 ; H04N19/146 ; H04N19/172

Abstract:
The present disclosure relates to a method of acquiring neighboring disparity vectors for multi-texture and multi-depth video. The method belongs to the area of 3D-HEVC video coding technology. The method includes changing the standard associated with a disparity vector that is first searched as a final disparity vector. By deleting location which is minimum searched in candidate space and time location of the coding unit next to current coding unit to divide candidate space and time location of the coding unit into groups, the method takes searched disparity vector that is combined based on the proportion of adoption rate as final disparity vector. The method improves coding quality and at the same time maintaining origin fast algorithm efficiency. The embodiments of the present disclosure improve coding quality at least 0.05% and at the same time maintain origin fast algorithm efficiency while the decoding time is decreased to 97.1%.
Public/Granted literature
- US20170094306A1 Method of acquiring neighboring disparity vectors for multi-texture and multi-depth video Public/Granted day:2017-03-30
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